Paper Citation Record · LEDGER

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking

As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2508.08117.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.08117 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:43:19.797098Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:39:25.998060Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T07:14:21.971828Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy29
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0e2de2c-5920-4b28-ae8d-e8cba1e098b4 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Scalability in perception for autonomous driving: Waymo open dataset,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.233130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 539091c9-1a9f-4131-9113-6e28d6117af9 · outbound

This paper cites Glamr: Global occlusion-aware human mesh recovery with dynamic cameras,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Glamr: Global occlusion-aware human mesh recovery with dynamic cameras,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.222022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d5d29d36-1bfb-4338-942a-d1b622f27871 · outbound

This paper cites Tracking systems in team sports: a narrative review of applications of the data and sport specific analysis,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Tracking systems in team sports: a narrative review of applications of the data and sport specific analysis,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.211170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7c17f498-72fe-46dc-9aee-1398b7740fa4 · outbound

This paper cites Sparsetrack: Multi- object tracking by performing scene decomposition based on pseudo- depth,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Sparsetrack: Multi- object tracking by performing scene decomposition based on pseudo- depth,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.200565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70f56728-96e3-4917-b6de-724289c105a1 · outbound

This paper cites Camot: Camera angle-aware multi- object tracking,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Camot: Camera angle-aware multi- object tracking,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.189827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b3a255f-8f1b-4bb4-8531-4fd549786002 · outbound

This paper cites Quo vadis: Is trajectory forecasting the key towards long-term multi-object track- ing?.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Quo vadis: Is trajectory forecasting the key towards long-term multi-object track- ing?

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.179308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 46a500e7-de58-4570-bf6e-06e2e74d7922 · outbound

This paper cites Detecting invisible people,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Detecting invisible people,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.169231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d32f115-c125-454c-b983-cad6944b39e2 · outbound

This paper cites Contributions to the theory of optimal control,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Contributions to the theory of optimal control,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.157521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2d1222e-7011-47ed-9e70-ef60b0bf192f · outbound

This paper cites Observation- centric sort: Rethinking sort for robust multi-object tracking,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Observation- centric sort: Rethinking sort for robust multi-object tracking,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.146788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16f88eca-de88-46d7-bf67-888811d15cb9 · outbound

This paper cites MOT16: A Benchmark for Multi-Object Tracking.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking MOT16: A Benchmark for Multi-Object Tracking

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T21:43:19.714208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aabd58a-2663-4c2b-aaaa-3da97da32a78 · outbound

This paper cites MOT20: A benchmark for multi object tracking in crowded scenes.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T21:43:19.718350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3ba4a2d-968d-4418-ab8e-15e7f46b180a · outbound

This paper cites Dancetrack: Multi-object tracking in uniform appearance and diverse motion,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Dancetrack: Multi-object tracking in uniform appearance and diverse motion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.136694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a92e963e-bf52-426e-bcc8-8e3c50cd7a42 · outbound

This paper cites Simple online and realtime tracking,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Simple online and realtime tracking,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.125773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9698fc5c-fcc0-4d7e-83ef-2bee72b28d8a · outbound

This paper cites Bytetrack: Multi-object tracking by associating every detection box,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Bytetrack: Multi-object tracking by associating every detection box,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.114764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6af77af4-ce00-4d37-b7b7-ef04539737bf · outbound

This paper cites Ettrack: enhanced temporal motion predictor for multi-object tracking,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Ettrack: enhanced temporal motion predictor for multi-object tracking,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.102564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 540dd3bb-dd65-4303-8423-7591e583665f · outbound

This paper cites Simple online and realtime tracking with a deep association metric,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Simple online and realtime tracking with a deep association metric,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.088464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0ce1ace4-8c89-4cf2-ba0e-70110a992e4e · outbound

This paper cites Deep oc-sort: Multi-pedestrian tracking by adaptive re-identification,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Deep oc-sort: Multi-pedestrian tracking by adaptive re-identification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.077793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6b033d1-2664-4f4c-8edd-92ae943151f8 · outbound

This paper cites Ucmc- track: Multi-object tracking with uniform camera motion compensation,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Ucmc- track: Multi-object tracking with uniform camera motion compensation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.066748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55049973-fb56-44ca-82a3-88f21b5312e4 · outbound

This paper cites AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T21:43:19.746019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcb7e222-65dc-45bb-8ab5-6a04bc01c7d8 · outbound

This paper cites Center-based 3d object detection and tracking,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Center-based 3d object detection and tracking,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.055360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 529e2ab6-698d-4ed1-a3a9-18eba926c69c · outbound

This paper cites Depth anything v2,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Depth anything v2,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.044470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ccff48d-ab5b-4bba-9796-37b94cab6939 · outbound

This paper cites Efficient Track Anything.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Efficient Track Anything

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T21:43:19.755957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6215311-310b-4cd8-82c0-fee6506f7d3b · outbound

This paper cites Spherical mask: Coarse-to-fine 3d point cloud instance segmentation with spher- ical representation,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Spherical mask: Coarse-to-fine 3d point cloud instance segmentation with spher- ical representation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.034089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dd0aca21-debd-4ef9-aed1-98eb401e9f71 · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.021964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 930d9fb9-3a98-47ec-899a-452f75cf41f2 · outbound

This paper cites Hard to track objects with irregular motions and similar appearances? make it easier by buffering the matching space,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Hard to track objects with irregular motions and similar appearances? make it easier by buffering the matching space,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:20.008928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c38d804a-b9f2-4d63-942b-d2d19487c91a · outbound

This paper cites Motiontrack: Learning robust short-term and long-term motions for multi-object tracking,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Motiontrack: Learning robust short-term and long-term motions for multi-object tracking,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:19.996387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3f223b69-c507-4eb5-acdf-6453e6e3f9bf · outbound

This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T21:43:19.771692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c2e0c4-baf2-41f3-ab22-0e41c7ab7fc8 · outbound

This paper cites Simple cues lead to a strong multi-object tracker,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Simple cues lead to a strong multi-object tracker,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:19.983640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5580a42e-6846-4b9b-b138-728b8f318cc1 · outbound

This paper cites Strong- sort: Make deepsort great again,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Strong- sort: Make deepsort great again,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:19.969898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0d2bccf-b5cb-4f7e-baae-dd61b1b473c6 · outbound

This paper cites Diffmot: A real-time diffusion-based multiple object tracker with non-linear prediction,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Diffmot: A real-time diffusion-based multiple object tracker with non-linear prediction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:19.955474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f14b2709-2a10-4f1d-b831-1b1ae6847518 · outbound

This paper cites Temporal coherent object flow for multi-object tracking,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Temporal coherent object flow for multi-object tracking,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:19.941971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 83739071-ff4b-4206-a3d9-615654dab505 · outbound

This paper cites Evaluating multiple object tracking performance: the clear mot metrics,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Evaluating multiple object tracking performance: the clear mot metrics,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:19.927515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a61b38e9-377f-4ce0-842c-762b51eb8ec3 · outbound

This paper cites Performance measures and a data set for multi-target, multi-camera tracking,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Performance measures and a data set for multi-target, multi-camera tracking,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:19.915449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91e203b0-2a90-4155-b05c-2db76da8be46 · outbound

This paper cites Hota: A higher order metric for evaluating multi-object tracking,.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking Hota: A higher order metric for evaluating multi-object tracking,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:43:19.900467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c84decc-d129-462c-9001-a0958fec5202 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking YOLOX: Exceeding YOLO Series in 2021

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T21:43:19.797098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f65b5026-26cb-476f-bdd7-968d97ac75a0 · inbound

Handling fabrication defects in hex-grid surface codes cites this paper.

Handling fabrication defects in hex-grid surface codes GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T21:39:25.998060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaed98f8-f285-48d1-905c-ebc0caccf639 · inbound

CylindTrack: Depth-Aware Cylindrical Motion Modeling for Panoramic Multi-Object Tracking cites this paper.

CylindTrack: Depth-Aware Cylindrical Motion Modeling for Panoramic Multi-Object Tracking GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:14:21.973796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.